
Part 8 of Wisdomia's Deep Dive into AI, Inclusivity, and Neurodiversity

In Part 7, we explored the four pillars of best practice, proven frameworks that work. But frameworks don't implement themselves. Best practices require actors with resources, authority, and commitment.
The question isn't just what needs to happen. It's who needs to do it, by when, and with what resources.
This chapter provides specific, actionable recommendations for four key stakeholder groups, each with unique leverage points and distinct responsibilities in building an inclusive AI future. These aren't aspirational goals. They're achievable actions with proven impact and clear timelines.
Welcome to the stakeholder action plan.

Success requires coordinated action across:
Each plays an essential role. None can succeed alone. And critically: the disability community must be at the center of all action, co-creators, not just beneficiaries.

Governments create the enabling environment for accessibility. Without policy support, market incentives alone won't close the gap between 3% access in low-income countries and 90% in high-income countries.
Implement and Enforce Accessibility Standards Mandate accessibility requirements for all AI systems and digital technologies. Establish clear compliance mechanisms with actual penalties. Require regular auditing and public reporting. Align with international frameworks like CRPD and WCAG.
Increase Public Funding Create dedicated budget lines for assistive technology R&D. Provide subsidies and vouchers for individual users. Fund grant programs for innovative startups and researchers. Invest in accessibility infrastructure.
Mandate Ethical AI Reviews Require bias auditing before AI deployment. Establish ethics committees with disability representation. Institute regular monitoring and reporting requirements. Create swift response mechanisms for identified harms.
Establish National AT Provision Systems Follow the WHO-GATE 5P framework we explored in Part 7. Create integrated service delivery pathways. Train workforce across disciplines. Ensure both urban and rural access.
Support Education-to-Career Pathways Fund vocational rehabilitation services. Incentivize neurodiverse hiring through tax credits. Subsidize workplace accommodation costs. Create supported employment programs.
Tax Incentives for Innovation Provide tax breaks for companies developing accessible technologies. Offer procurement preferences for accessible products. Support public-private partnerships. Foster international cooperation and knowledge sharing.
These investments aren't costs, they're economic multipliers. Remember from Part 1: unaddressed hearing loss alone costs $980 billion annually. Every dollar invested in accessibility generates multiple dollars in economic productivity, reduced healthcare costs, and increased tax revenue.

Technology creators bear profound responsibility for ensuring their innovations serve all humanity, not just the privileged majority.
Accessibility from Inception Build accessibility into first wireframes, not as retrofit. Include disabled developers, designers, and product managers on core teams. Make accessibility goals part of all product roadmaps and sprint planning. Create design systems with accessibility components built-in.
Co-Creation with Disability Community Partner with disability organizations from project start. Compensate disabled consultants and testers appropriately—lived experience is expertise. Create accessible participation pathways. Build long-term partnerships beyond single product launches.
As we learned from Be My Eyes in Part 2: founder Hans Jørgen Wiberg's lived experience as a person with visual impairment was fundamental to creating a service that processed 43 million requests in 2024.
Rigorous Bias Testing Test with diverse disability populations before launch. Conduct disparate impact analysis across user groups. Use third-party auditing of algorithms. Publish bias testing methodologies and results.
This directly addresses the alarming finding from Part 6: AI models rating disability terms worse than "bank robber."
Build It Into the Pipeline
Affordability and Access Models
Open Knowledge Sharing Publish accessibility research and learnings. Contribute to open datasets. Share best practices across industry. Participate in accessibility standards development.
Microsoft's 30-year accessibility commitment (Part 4) hasn't limited their success—it's enhanced it. Accessibility features like voice control and dark mode, initially designed for disabled users, become universal preferences that improve products for everyone.
Build for the margins, benefit the mainstream.

We know from Part 4 that companies with comprehensive neuroinclusion programs achieve 90%+ retention rates and 90-140% productivity gains. Yet Part 6 revealed that only 25% of companies offer neurodivergent-specific onboarding.
Here's how to join the leading 25% and surpass them.
Phase 1: Education (Months 2-4)
Phase 2: Infrastructure (Months 3-6)
Phase 3: Recruitment (Months 4-8)
Phase 4: Support (Months 6-12)
Phase 5: Measurement (Ongoing)
Total Investment:
Expected ROI: 3-5x within 24 months
Timeline for Results:
The business case from Part 4: 16% profitability increase, 18% productivity boost, 12% customer loyalty improvement.

Academic research from institutions like Stanford, MIT, and others (Part 3) provides the evidence base for everything we've discussed. But research must translate to practice.
Longitudinal Impact Studies Track 5-year and 10-year outcomes of AI assistance on independence and quality of life. Study life course perspectives and intergenerational impacts. We need evidence beyond short-term pilots.
Algorithmic Bias Investigation Develop systematic bias detection methodologies. Test mitigation strategies. Conduct intersectional analysis. Create continuous monitoring frameworks.
Intersectionality Research Examine neurodiversity combined with cultural and linguistic diversity. Study disability intersecting with race, gender, age, and socioeconomic status. Address multiple marginalized identities simultaneously.
Global AT Needs Assessment Create standardized measurement tools. Quantify unmet need country-by-country. Analyze regional variations. Build predictive models for future needs as populations age.
Industry Partnerships University-industry collaborations that accelerate research-to-product pipelines. Licensing and commercialization support. Startup incubators for accessibility tech.
Stanford's AI-powered job matcher project with Neurodiversity At Work (Part 3) exemplifies this translation pathway.
Open Science Practices
Use community-based participatory research (CBPR). Co-produce research with disabled researchers and participants. Employ mixed methods. Apply implementation science frameworks for rapid translation.
"Nothing About Us Without Us" applies to research as much as product development.
Here's the crucial insight: No single stakeholder can achieve an inclusive AI future alone.
Policymakers set standards, but technology developers must implement them. Developers build products, but employers must adopt them. Employers create inclusive workplaces, but researchers must provide evidence of what works. Researchers generate knowledge, but policymakers must translate it into law.
And all four must work in genuine partnership with the disability community.
Policymakers ↔ Developers: Standards and compliance, funding and grants, regulatory guidance
Developers ↔ Employers: Technology adoption, product training, custom solutions
Employers ↔ Researchers: Evidence-based practices, real-world testing, outcome data
Researchers ↔ Policymakers: Evidence for policy, impact assessments, best practices
All ↔ Disability Community: Co-creation, feedback, accountability, partnership
The UN Sustainable Development Goals and WHO initiatives target universal assistive technology access by 2030. That's just five years away. Here's the realistic timeline:
Months 1-6 (Foundation Building) Policy frameworks established, research priorities set, corporate commitments secured, community partnerships formed.
Months 6-12 (Initial Implementation) Standards enacted, products launched, workplace programs initiated, research underway.
Months 12-24 (Scaling and Refinement) Compliance monitoring, product iteration based on user feedback, program expansion, evidence publication.
Months 24-36 (Maturity and Cultural Shift) Accessibility becomes standard practice, not exception. Cultural norms shift from accommodation to expectation.
2030 (Universal Access Goal) The 3% vs. 90% access gap closes substantially. One billion people no longer denied needed assistive technology.
Ambitious? Yes. Achievable? Also yes—if all stakeholders act in coordination.
This isn't just for government ministers, tech CEOs, HR directors, and university presidents. Individual action matters:
If you're in government: Champion accessibility in your department. Include accessibility requirements in procurements. Support funding increases.
If you're a developer: Push for accessibility testing in your sprint. Volunteer to join accessibility working groups. Learn WCAG standards.
If you're a manager: Proactively offer accommodations. Get trained in neurodiversity support. Advocate for inclusive recruitment in your team.
If you're a researcher: Make your publications accessible. Partner with disability organizations. Study what matters to disabled communities.
If you're none of these: Demand accessibility from products you use. Support companies with strong accessibility track records. Vote for leaders who prioritize inclusion.
And if you're a person with disabilities: Your lived experience is expertise. Your voice matters. Demand co-creation, not just consultation.

We've journeyed through eight chapters, from the 2.5 billion people needing assistive technology to revolutionary applications to academic breakthroughs to corporate successes to policy frameworks to barriers to best practices to this stakeholder action plan.
The pattern is clear: we know what works. We know who needs to do it. We even know the timeline and expected ROI.
What we've lacked isn't knowledge, it's coordination. Policymakers acting without consulting developers. Developers building without employer input. Employers implementing without research evidence. Researchers publishing without translation pathways.
This chapter provides the coordination framework. Four stakeholder groups, each with specific responsibilities, timelines, and resources. All connected through the disability community at the center.
The blueprint for universal AI accessibility exists. The actors are identified. The timeline is set.
What remains is commitment and accountability to ensure commitment becomes action.
Continued from Part 7: "From Barriers to Breakthroughs: The Four-Pillar Framework for Building Truly Inclusive AI Systems"
Based on research from "AI Inclusivity, Neurodiversity and Disabilities: A Comprehensive White Paper on Artificial Intelligence as a Transformative Force" by Dinis Guarda
Stakeholder Responsibilities Summary:
Policymakers: Implement standards (12-18 months), increase funding, establish national AT systems, mandate ethical AI reviews
Developers: Accessibility from inception, rigorous bias testing, co-creation with disability community, affordable access models
Employers: Systematic neuroinclusion (100-200 hours, $50K-150K investment, 3-5x ROI in 24 months)
Researchers: Longitudinal studies, bias investigation, intersectionality research, rapid industry translation
Critical Insight: No single stakeholder succeeds alone, coordination with disability community at center is essential.
Next in this series: Part 9 explores the philosophical and humanistic dimensions of this work, why universal accessibility matters beyond economics, productivity, and innovation.
The Trinity of Signals: How Identity, Information, and Action Shape Reality
The Mirror Universe: Why Reality Reflects All Your Signals

Dinis Guarda is an author, entrepreneur, founder CEO of ztudium, Businessabc, citiesabc.com and Wisdomia.ai. Dinis is an AI leader, researcher and creator who has been building proprietary solutions based on technologies like digital twins, 3D, spatial computing, AR/VR/MR. Dinis is also an author of multiple books, including "4IR AI Blockchain Fintech IoT Reinventing a Nation" and others. Dinis has been collaborating with the likes of UN / UNITAR, UNESCO, European Space Agency, IBM, Siemens, Mastercard, and governments like USAID, and Malaysia Government to mention a few. He has been a guest lecturer at business schools such as Copenhagen Business School. Dinis is ranked as one of the most influential people and thought leaders in Thinkers360 / Rise Global’s The Artificial Intelligence Power 100, Top 10 Thought leaders in AI, smart cities, metaverse, blockchain, fintech.